What’s new. What matters. What do you think?
Burp AT keeps scope, tool access, approvals, and the activity record in the Burp layer. That is the right boundary for an AI security agent, but the beta still needs testing.
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Open the full discussionMicrosoft expands Perception with Guardian Agents and Dynamic Permissions. Review agent identity, task-scoped access and enforcement alongside model routing.
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Artificial Analysis measured the same open models across serverless providers. The gaps show why builders must benchmark the endpoint, not only the model.
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Qwen3.8 Max briefly led an agent benchmark before a methodology rerank. Qwen now says 27B open weights are landing this week, but the files are not yet public.
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OpenAI published ten Astra-generated math and theoretical-computer-science results with a 253-page paper and Lean certificates. The artifacts are real; the $2,000 headline needs context.
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Researchers created 16 viable AI-designed bacteriophages that kill E. coli. Here is what the peer-reviewed result proves, what it does not, and why governance matters.
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Energy can drive a signed-in browser, search Workspace, and act across connected tools. Here is the pricing, privacy boundary, and safer first-test plan.
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Google DeepMind's WeatherNext Cyclones shifts a familiar forecast-accuracy point roughly one day earlier and opens a path for researchers to test the models.
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Reddit Rules Hub uses an LLM to interpret community rules. Here is why moderators should log, queue, and audit before enabling automatic removals.
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Meta Muse Code adds persistent agents, restartable state, and 24-hour demonstrations. Here is how to test the handoff before trusting an overnight run.
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A viral Reddit discussion about TikTok’s Bold Glamour filter exposed a lasting problem: the realistic edit can travel farther than its disclosure.
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A viral Reddit post says a boss treated Claude's forecast like an order and blamed staff when reality disagreed. The useful lesson is how to stop closed-loop AI decisions.
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